Physical inactivity is a major public health issue. For the prevention and management of noncommunicable diseases (NCDs), such as cardiovascular disease, type-2 diabetes, number malignancies, regular physical activity critical protective factor. Along with helping to maintain healthy weight overall wellbeing, has positive effects on mental health, including avoidance cognitive decline symptoms ...

Communities play a crucial role to describe and analyse modern networks. However, the size of those networks has grown tremendously with the increase of computational power and data storage. While various methods have been developed to extract community structures, their computational cost or the difficulty to parallelize existing algorithms make partitioning real networks into communities a ch...

We address a semi-supervised learning problem of identifying all latent members of a local community from very few labeled seed members in large networks. By a simple and efficient sampling method, we conduct a comparatively small subgraph encompassing most of the latent members such that the follow-up membership identification could focus on an accurate local region instead of the whole networ...

Creating rankings might seem like a vain exercise in belly-button gazing, even more so for people so unlike that kind of things as programmers. However, in this paper we will try to prove how creating city (or province) based rankings in Spain has led to all kind of interesting effects, including increased productivity and community building. We describe the methodology we have used to search f...

The paper outlines Deliberative Community Networks as the evolution of Community Networks, as they have been the ‘90es of the 20th century. Deliberative Community Networks aim at overcoming the limits ‘traditional’ Community Networks have shown in involving citizens in the decision making process by local institutions and at supporting the government bodies actually committed to involve citizen...

The study of community networks has attracted considerable attention recently. In this paper, we propose an evolving community network model based on local processes, the addition of new nodes intra-community and new links intraor intercommunity. Employing growth and preferential attachment mechanisms, we generate networks with a generalized power-law distribution of nodes’ degrees.

Community detection aims to find dense subgraphs in a network. We consider the problem of finding a community locally around a seed node both in unweighted and weighted networks. This is a faster alternative to algorithms that detect communities that cover the whole network when actually only a single community is required. Further, many overlapping community detection algorithms use local comm...

Network is a simple but powerful representation of real-world complex systems. Network community analysis has become an invaluable tool to explore and reveal the internal organization of nodes. However, only a few methods were directly designed for community-detection in directed networks. In this article, we introduce the concept of local community structure in directed networks and provide a ...